Not merely a matter of drawing arrows : the empirical consequences of measurement model specification and recommendations for practice

Chan, Elisa K. (Ecole hôtelière de Lausanne, HES-SO // University of Applied Sciences Western Switzerland) ; Sturman, Michael (Cornell University, Ithaca, NY, USA) ; Park, Sanghee (Rutgers University, Piscataway, NJ, USA) ; Vanderpool, Chelsea (Governors State University, University Park, IL, USA)

Understanding measurement model specification is especially important for hospitality research due to its cross-disciplinary nature and the prevalence of measures used in the field which are often central to the formative versus reflective debate (e.g., SERVQUAL, socioeconomic status). The current study contributes to this topic by providing empirically based prescriptive advice to drive better measurement model specification. Specifically, the decision-making procedures developed by this study can complement theoretical reasons for a model choice as well as help determine a correct model choice when theories are equivocal or non-existent. This study combines actual and simulated data to show that model fit statistics alone cannot determine which model specification is correct, but also that a correct measurement model will generate more accurate predictions within a model which in turn will offer more accurate managerial recommendations.


Mots-clés:
Type d'article:
scientifique
Faculté:
Economie et Services
Ecole:
EHL
Classification:
Economie/gestion
Date:
2017
Pagination:
pp. 272-292
Publié dans
Cornell hospitality quarterly
Numérotation (vol. no.):
2017, vol. 58, no. 3, pp. 272-292
DOI:
ISSN:
1938-9655
Le document apparaît dans:

Note: The status of this file is: restricted


 Notice créée le 2017-09-04, modifiée le 2018-12-05

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